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Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

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Published on: February 21, 2025

Vascular age estimation using a consumer wearable sleep tracker.

Gizem Yilmaz¹, Shohreh Ghorbani¹, Ju Lynn Ong¹

¹Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

PLOS Digital Health

|March 30, 2026

Summary

This summary is machine-generated.

Consumer wearables like the Oura Ring can assess vascular age using photoplethysmography (PPG) waveforms. This scalable method shows comparable accuracy to clinical devices for tracking age-related vascular changes.

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Published on: January 26, 2019

Area of Science:

Gerontology and cardiovascular research.
Biomedical engineering and wearable technology.

Background:

Traditional vascular aging assessment relies on costly clinical equipment.
Wearable health trackers offer a scalable alternative for longitudinal vascular aging monitoring.

Purpose of the Study:

To evaluate a consumer wearable (Oura Ring) for detecting age-related photoplethysmography (PPG) waveform differences.
To compare the performance of a wearable PPG sensor against a clinical-grade device in estimating vascular age.

Main Methods:

Simultaneous overnight PPG data collection from a fingertip pulse oximeter and an Oura Ring in 160 healthy adults.
Extraction of pulse waveform features and estimation of vascular age using a deep learning model.
Comparison of waveform feature correlations with age and prediction performance between devices.

Main Results:

Age-related changes were most prominent in PPG crest time for both devices.
The reflection index showed weaker age correlation for the ring sensor compared to the fingertip device.
The deep learning model achieved comparable vascular age prediction performance (r ≈ 0.80-0.84) across both clinical-grade and consumer-grade devices.

Conclusions:

Nocturnal PPG from wearable devices is feasible for assessing vascular age.
Consumer wearables provide a scalable solution for longitudinal monitoring of vascular aging.